7 of 7 Performance Tuning Jobs in County Antrim

components that sit directly in the cash equities trading hot path, ensuring pre-trade and real-time risk controls are enforced with microsecond-level performance while maintaining correctness and resiliency at scale. This is a hands-on, deeply technical role that also carries leadership responsibilities — mentoring engineers, driving architecture … Engine responsible for real-time pre-trade risk checks, position limits, and exposure controls across cash equities electronic execution flows. Architect and optimize high-performance, lock-minimal, multi-threaded components capable of processing risk decisions in the sub-microsecond to low-microsecond range. Integrate risk and position components with ...

Applications Development Technology Lead Analyst (KDB Lead Developer) is a senior-level technical leadership role responsible for architecting, establishing, and implementing high-performance, low-latency tick and time-series data systems. This role leads the design, development, optimization, and support of real-time and historical KDB+/q architectures … throughput feedhandlers, APIs, and microservices interfacing KDB+ with upstream messaging fabrics (e.g., Kafka, Solace, LBM/29West, ZeroMQ) and downstream consumer platforms. Develop high-performance C/C++ or Python shared libraries (embedPy, PyQ, C API) for real-time analytics, machine learning integration, or proprietary calculation engines. Oversee ...

/ELT pipeline design and operation; batch + near-real-time Parquet and object storage (Azure Blob or S3) as a query tier Query performance tuning and capacity planning Strong SQL; PostgreSQL competence Desired Criteria: Clickhouse production experience at billions-of-rows scale Azure specifics: managed identity, Private ...

Connectivity Agent Strong understanding of fault handling frameworks and web service error management Solid experience with SQL/PL-SQL, ATP, Oracle DBCS, and performance tuning Strong experience delivering reporting solutions within Oracle Fusion Cloud, using Oracle BI and OTBI Proven ability to translate business requirements into robust ...

real-time data ingestion and streaming pipelines using Apache Kafka. Database Management: Design and optimize data models in MongoDB and relational databases, ensuring high performance for complex queries and data storage. Agile Execution: Drive sprint planning, task estimation, and daily progress within an Agile/Scrum framework to ensure … Technical Experience: Professional Experience: Significant experienceof hands-on software engineering experience in enterprise-scale environments, with a proven track record of delivering robust, high-performance applications. Java/J2EE Expertise: Deep, authoritative knowledge of the J2EE platform and Core Java (Java 8 and above), including advanced concepts such ...

highly scalable, reliable systems supporting millions of devices and users across seven geographically distributed platform instances. Play a significant role in the reliability, scalability, performance, and cost efficiency of Ayla’s global cloud infrastructure. Collaborate with engineering leaders and peers across multiple countries to develop repeatable and scalable objectives. … years of database administration experience with technologies such as MySQL, Cassandra, or other NoSQL databases. 3+ years of experience in log collection and analysis, performance monitoring/tuning, using tools such as Coralogix, Prometheus, OpenTelemetry, New Relic, Datadog, or similar platforms. 3+ years of experience with infrastructure automation ...

this role is to lead applications systems analysis and programming activities. Proven leadership in building and scaling enterprise data services, driving cloud transformation, optimising performance, capacity, and delivering AI enabled operational and analytics platform. Responsibilities Lead the design, engineering and delivery of next generation cloud data services supporting data … issues with transparency. Skills & Experience Essential Proven in-depth commercial experience in the following key areas: Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning. Apache Spark & Scala – High-performance distributed data processing and optimisation. Cloud Data Engineering (AWS) – Cloud-native data platforms and distributed computing. Data ...